Evidence map›Paper›PMID 38429672›Full record

ArticleBMC public health2024

Frequency of cigarette smoking and its associated factors among men in East Africa: a pooled prevalence analysis of national survey using multinomial regression.

Bewuketu Terefe, Mahlet Moges Jembere, Bogale Chekole, Nega Tezera Assimamaw, Daniel Ayelegne Gebeyehu

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bewuketu TerefeDepartment of Community Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Post Office Box: 196, Ethiopia. woldeabwomariam@gmail.com.ORCID 0000-0002-0063-0999
Mahlet Moges JembereDepartment of Emergency and Critical Care Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Bogale ChekoleDepartment of Comprehensive Nursing, College of Medicine and Health Sciences, Wolkite University, Southern, Ethiopia.
Nega Tezera AssimamawDepartment of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Daniel Ayelegne GebeyehuDepartment of Psychiatry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the harmful effects of smoking, there have been few studies to pinpoint the factors of this habit, and little is known about it in the East African region. For this reason, this study sought to determine the frequency and factors of cigarette smoking among men in the region.

methodsData from recent demographic and health surveys carried out in ten East African countries between 2015 and 2022 were analyzed in this study. Data from 87,022 men was collected. The key factors affecting the smoking rates in the area were investigated using binary and multiple multinomial logistic regression. To ascertain if variables were statistically significant in the final model for binary regression and multiple regression, P values of ≤ 0.2 and < 0.05 were used respectively.

resultsOverall, about 14.69% of people currently smoke cigarettes. Of this about 11.03 (95% CI = 10.82, 11.24) was for daily active tobacco use. As compared to < 26-year-old men, men with an age range of 26-35 years (RRR = 2.17, 95% CI: 2.01,2.34), 36-45 years (RRR = 2.82, 95% CI: 2.60, 3.07), and > 45 years old (RRR = 3.68, 95% CI: 3.38, 4.02), were using cigarettes daily rather than no-smoking cigarettes. Men who had begun their first sexual intercourse at the age of 7-19 years (RRR = 6.27,95% CI, 5.35,7.35), 20-25 years (RRR = 4.01, 95% CI, 3.40,4.72), and greater than 25 years old (RRR = 3.08, 95% CI, 2.55,3.71) have shown a higher relative risk ratio to smoke cigarette daily rather than using not smoke cigarette respectively, married (RRR = 0.86, 95% CI, 0.79,0.93), divorced or widowed (RRR = 2.51, 95% CI, 2.27,2.77), middle wealth index (RRR = 2.11, 95% CI 1.98,2.24), and rich (RRR = 1.44, 95% CI, 1.34,1.54), secondary/higher education (RRR = 0.72, 05% CI, 0.66,0.77), rural men (RRR = 0.69, 95% CI, 0.65,0.73), employed men (RRR = 1.26,95% CI, 1.17,1.36), mass media exposure (RRR = 0.76, 95% CI, 0.73,0.81), men who have one sex partner (RRR = 1.23,95% CI,1.13,1.35), and more than one sex partner (RRR = 1.63, 95% CI, 1.47,1.79) more times as compared to those participants who had no sex partner respectively.

conclusionsMen in East African nations were substantially more likely to smoke cigarettes if they were older, had less education, had a higher wealth index, were divorced or widowed, had many sexual relationships, had early sexual activity, resided in an urban area, were employed, or had no media exposure. The identified factors should be considered by policymakers and public health professionals to lower smoking initiation and increase smoking cessation among men.

Indexed as

Cigarette SmokingTobacco ProductsAdolescentAdultAfrica, EasternChildHumansMaleMiddle AgedPrevalenceSmokingYoung AdultCigarette smokingEast AfricaFactorsFrequencyMenMultinomial regression

Identifiers

PMID38429672
PMCPMC10908029

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.